CN106297340A - A kind of driving vehicle pre-warning system for monitoring and method - Google Patents
A kind of driving vehicle pre-warning system for monitoring and method Download PDFInfo
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- CN106297340A CN106297340A CN201610679795.2A CN201610679795A CN106297340A CN 106297340 A CN106297340 A CN 106297340A CN 201610679795 A CN201610679795 A CN 201610679795A CN 106297340 A CN106297340 A CN 106297340A
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/123—Traffic control systems for road vehicles indicating the position of vehicles, e.g. scheduled vehicles; Managing passenger vehicles circulating according to a fixed timetable, e.g. buses, trains, trams
- G08G1/127—Traffic control systems for road vehicles indicating the position of vehicles, e.g. scheduled vehicles; Managing passenger vehicles circulating according to a fixed timetable, e.g. buses, trains, trams to a central station ; Indicators in a central station
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/16—Anti-collision systems
- G08G1/164—Centralised systems, e.g. external to vehicles
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/16—Anti-collision systems
- G08G1/166—Anti-collision systems for active traffic, e.g. moving vehicles, pedestrians, bikes
Abstract
The present invention proposes a kind of driving vehicle pre-warning system for monitoring and method, including information of vehicles monitoring system, server, data analysis center, prediction module and alarm module.Vehicle and human pilot are analyzed entirety as one by native system, will operator vehicle running data and and the real time information of vehicle, all upload server is analyzed, thus realizes prediction and monitoring and warning.
Description
Technical field
The present invention relates to intelligent transportation field, refer more particularly to a kind of driving vehicle pre-warning system for monitoring and method.
Background technology
Along with highway transportation is as most important ground transportation mode, there is act foot light in social progress and economic development
The effect of weight.But common problem is both at home and abroad, along with the quick growth of automobile pollution, vehicle accident takes place frequently, thing
Therefore the road traffic congestion phenomenon caused is emerged in large numbers, serious restriction economic development and social harmony.In recent years, China's vehicle and driving
People keeps quickly increasing, although though the number of casualties that annual vehicle accident causes is reduced, but be still that a huge numeral.
The vehicle accident caused due to cognition and the incorrect decision of driver is to cause mainly comprising of tragedy.China's vehicle accident
Statistical result displays that, the vehicle accident caused due to driver accounts for about 90%.To this end, intelligent transportation system is suggested,
To developing by leaps and bounds and successful implementation in the freeway facility of urban.It was verified that ITS is to solve at present
The ideal scheme of traffic problems, it is intended to use the traffic administration control technology of intelligence, utilizes existing means of transportation fully
Resource, alleviates traffic congestion effectively, reduces the generation of vehicle accident, to traveler with comfortable safe traffic environment.
In the research in this field, vehicle is run shape by the psychology of driver--physiological feature, respond, perception characteristic
State has a certain degree of impact, but conventional research is to analyze some in the numerous psychology of driver and physiological property mostly
Factor, studies driving behavior characteristic by setting up the relation with vehicle accident.Actual consider at road environment and
Under the influence of nearby vehicle, driver can be by many factors joint effect, iff from a certain characteristic angle of driver
Analyzing, the application of its result of study and traffic safety is difficult to be connected.
At present, the physiology-mental model for driving behavior research is suggested, by setting the threshold of responsiveness of driver's psychology
Value, is described the perception characteristic of driver；The equation of intelligent driving model (DIM) is suggested, and model comprises an acceleration
Strategy and braking strategy, contain acceleration, slow down and with car runs three kinds of driving conditions；Also a lot of scholar is had to be handed over by simulated roadway
Gating condition has carried out correlation analysis and research to driving behavior, driver's custom and driver's mental status.
Therefore, we are necessary to improve such a structure, to overcome drawbacks described above.
Summary of the invention
Under the influence of the present invention considers the factors such as human pilot and environment, it is proposed that a kind of driving vehicle is supervised safely
Detection early warning system, in conjunction with historical data and the real time running information of traffic magnanimity, carries out driving trace and accident and blocks up
Prediction, thus provide lane change, deceleration and start and stop early warning for human pilot.
The present invention solves that its technical problem be the technical scheme is that
A kind of driving vehicle pre-warning system for monitoring, including
One information of vehicles monitoring system, described information of vehicles monitoring system has first with control centre server communication
Communication unit, described information of vehicles monitoring system is used for collecting vehicle size, onboard sensor data, GPS position information, driving
People's information, vehicle start and stop speed, vehicle acceleration position relative with surrounding vehicles with the time and the information of relative velocity；
One server, described server includes background database, real time information data storehouse and for receiving the first communication list
The receptor one of the sent information of unit, described server has the second communication unit with data analysis center communication；
One data analysis center, described data analysis center have the 3rd communication unit with prediction module communication and for
Receiving the receptor two of the second sent information of communication unit, described data analysis center is for by control centre's server
Background database and real time information data storehouse are analyzed, and provide foundation for prediction；
One prediction module, described prediction module has the 4th communication unit with warning module communication and for receiving the 3rd
The receptor three of the sent information of communication unit, described prediction module is for providing car accident prediction occurring information to driver
And the foundation of reliable traveling is provided for driver；
One warning module, described warning module has the receptor four for receiving the 4th the sent information of communication unit,
Described warning module is for driver alert.
Further, described warning module is warning lamp or buzzer.
On the other hand, the invention provides driving vehicle pre-warning system for monitoring method always, described method include as
Lower step:
Step 1., when vehicle enters network coverage section, by public network and long-range server communication, is entered in real time
Row information is transmitted, and is stored in data base.In-vehicle network carries out the information monitoring of vehicle, such as vehicle size, vehicle-mounted sensing
Device data, GPS position information, drivers information, vehicle start and stop speed, acceleration and time, with the relative position of surrounding vehicles
With information such as relative velocities, uploaded to the server of control centre by network.Server includes that background database is with in real time
Data base.Real time information data storehouse comprises the real time GPS information of above-mentioned each vehicle being previously mentioned, following distance, speed and adds
Speed etc., background database is environment weather information, section cartographic information, all types of road accident information, certain section vehicle row
Sail profile information etc.；
Step 2. data analysis center is to be analyzed information in real-time data base in server processing, the vehicle obtained
Information characteristics, energy as new in the braking of vehicle, all types of driving path person's response time etc..Again two kinds of database informations are combined
Close and analyze, obtain certain section vehicle and get congestion and the probability of accident and in emergency circumstances driver's maximum response time, minimum
Safe distance, and obtain the pre-vehicle condition of vehicle under these road conditions, such as summer in road conditions of blocking up, by weather data storehouse information and
Traffic information is analyzed, and obtains the future trends such as vehicle motor temperature, thus provides foundation for prediction；
Step 3. prediction module mainly performs two work, and one is after real-time estimate in certain time, rolling stock
Position, and analyze contingent accident, be once found to have conflict point, the most immediately to associated vehicle prediction occurring information, from
And avoid the generation of accident；Two is that the result of up-to-date collection is compared with the result above predicted, revises forecast model.?
After optimal wheelpath that prediction is obtained and accident, the prediction probability that blocks up be handed down to this vehicle, provide reliable rows for driver
The foundation sailed；
Step 4. early warning refers to that the result obtained by data analysis center is contrasted with driver drives vehicle real-time condition,
Traveling situation the most in real time exceedes the end value of analysis, then carry out driver in car and report to the police, if vehicle condition is not good enough simultaneously,
Also warning instruction can be improved.Also send dangerous warning to Following Car behind simultaneously.
Novelty of the invention is that: slipping up from driver's decision-making and manipulation is the angle into main cause that causes the accident,
Carry out traffic safety monitoring and warning, improve drive safety.
The creativeness of the present invention is: the information analysis to driving vehicle emphatically, following distance during by driving, GPS road
Condition, the information such as road speed and vehicle start and stop, analyze in addition and obtain driver reaction time, obtain the minimum safe distance of this vehicle
From the data such as safety traffic standard, thus be predicted and give warning in advance.
The practicality of the present invention is: in intelligence driving process, carry out road condition predicting for vehicle is the most adaptive
And danger early warning, improve the security performance driven.
It is an advantage of the current invention that:
For real-time, the high efficiency demand of vehicle safety early warning, quickly transmit in conjunction with vehicle data under car networked environment
Feature, for driving behavior difference on road, from the transport condition and running orbit of vehicle, study the change of driving behavior,
The characteristic of driving behavior is analysed in depth, thus is carried out for magnanimity history and the live data of this road by server
Research, Intelligent Optimal traffic system (ITS), realizes trajectory predictions and actual time safety early warning.
This method can improve the effectiveness of intelligent transportation system, it is possible to takes into full account the driving performance of individual vehicle,
Real-time estimate and realize monitoring and warning more accurately, improves the safety and reliability driven.
Accompanying drawing explanation
Fig. 1 is the structural representation of a kind of driving vehicle pre-warning system for monitoring that the present invention proposes.
Detailed description of the invention
For the technological means making the present invention realize, creation characteristic, reach purpose and be easy to understand with effect, below knot
Close diagram and specific embodiment, the present invention is expanded on further.
As it is shown in figure 1, a kind of driving vehicle pre-warning system for monitoring that the present invention proposes, including
One information of vehicles monitoring system, described information of vehicles monitoring system has first with control centre server communication
Communication unit, described information of vehicles monitoring system is used for collecting vehicle size, onboard sensor data, GPS position information, driving
People's information, vehicle start and stop speed, vehicle acceleration position relative with surrounding vehicles with the time and the information of relative velocity；
One server, described server includes background database, real time information data storehouse and for receiving the first communication list
The receptor one of the sent information of unit, described server has the second communication unit with data analysis center communication；
One data analysis center, described data analysis center have the 3rd communication unit with prediction module communication and for
Receiving the receptor two of the second sent information of communication unit, described data analysis center is for by control centre's server
Background database and real time information data storehouse are analyzed, and provide foundation for prediction；
One prediction module, described prediction module has the 4th communication unit with warning module communication and for receiving the 3rd
The receptor three of the sent information of communication unit, described prediction module is for providing car accident prediction occurring information to driver
And the foundation of reliable traveling is provided for driver；
One warning module, described warning module has the receptor four for receiving the 4th the sent information of communication unit,
Described warning module is for driver alert.
Further, described warning module is warning lamp or buzzer.
On the other hand, the invention provides driving vehicle pre-warning system for monitoring method always, described method include as
Lower step:
Step 1., when vehicle enters network coverage section, by public network and long-range server communication, is entered in real time
Row information is transmitted, and is stored in data base.In-vehicle network carries out the information monitoring of vehicle, such as vehicle size, vehicle-mounted sensing
Device data, GPS position information, drivers information, vehicle start and stop speed, acceleration and time, with the relative position of surrounding vehicles
With information such as relative velocities, uploaded to the server of control centre by network.Server includes that background database is with in real time
Data base.Real time information data storehouse comprises the real time GPS information of above-mentioned each vehicle being previously mentioned, following distance, speed and adds
Speed etc., background database is environment weather information, section cartographic information, all types of road accident information, certain section vehicle row
Sail profile information etc.；
Step 2. data analysis center is to be analyzed information in real-time data base in server processing, the vehicle obtained
Information characteristics, energy as new in the braking of vehicle, all types of driving path person's response time etc..Again two kinds of database informations are combined
Close and analyze, obtain certain section vehicle and get congestion and the probability of accident and in emergency circumstances driver's maximum response time, minimum
Safe distance, and obtain the pre-vehicle condition of vehicle under these road conditions, such as summer in road conditions of blocking up, by weather data storehouse information and
Traffic information is analyzed, and obtains the future trends such as vehicle motor temperature, thus provides foundation for prediction；
Step 3. prediction module mainly performs two work, and one is after real-time estimate in certain time, rolling stock
Position, and analyze contingent accident, be once found to have conflict point, the most immediately to associated vehicle prediction occurring information, from
And avoid the generation of accident；Two is that the result of up-to-date collection is compared with the result above predicted, revises forecast model.?
After optimal wheelpath that prediction is obtained and accident, the prediction probability that blocks up be handed down to this vehicle, provide reliable rows for driver
The foundation sailed；
Step 4. early warning refers to that the result obtained by data analysis center is contrasted with driver drives vehicle real-time condition,
Traveling situation the most in real time exceedes the end value of analysis, then carry out driver in car and report to the police, if vehicle condition is not good enough simultaneously,
Also warning instruction can be improved.Also send dangerous warning to Following Car behind simultaneously.
Communication unit proposed by the invention and receptor can select from the actual application of actual life.
Prediction module, data analysis center, server and information of vehicles monitoring system proposed by the invention can be from existing
Real real daily life application selects.
The ultimate principle of the present invention, principal character and advantages of the present invention have more than been shown and described.The technology of the industry
Personnel, it should be appreciated that the present invention is not restricted to the described embodiments, simply illustrating this described in above-described embodiment and description
The principle of invention, the present invention also has various changes and modifications without departing from the spirit and scope of the present invention, and these become
Change and improvement both falls within scope of the claimed invention.Claimed scope by appending claims and
Equivalent defines.
Claims (3)
1. a driving vehicle pre-warning system for monitoring, it is characterised in that: include
One information of vehicles monitoring system, described information of vehicles monitoring system has and the first communication of control centre's server communication
Unit, described information of vehicles monitoring system is used for collecting vehicle size, onboard sensor data, GPS position information, driver's letter
Breath, vehicle start and stop speed, vehicle acceleration position relative with surrounding vehicles with the time and the information of relative velocity；
One server, described server includes background database, real time information data storehouse and for receiving the first communication unit institute
Sending the receptor one of information, described server has the second communication unit with data analysis center communication；
One data analysis center, described data analysis center has the 3rd communication unit with prediction module communication and for receiving
The receptor two of the second sent information of communication unit, described data analysis center is for by the background in control centre's server
Data base and real time information data storehouse are analyzed, and provide foundation for prediction；
One prediction module, described prediction module has the 4th communication unit with warning module communication and for receiving the 3rd communication
The receptor three of the sent information of unit, described prediction module for driver provide car accident prediction occurring information and
The foundation of reliable traveling is provided for driver；
One warning module, described warning module has the receptor four for receiving the 4th the sent information of communication unit, described
Warning module is for driver alert.
A kind of driving vehicle pre-warning system for monitoring the most according to claim 1, it is characterised in that: described warning module
For warning lamp or buzzer.
A kind of driving vehicle safety monitoring method for early warning the most according to claim 1, it is characterised in that described method bag
Include:
Step 1., when vehicle enters network coverage section, by public network and long-range server communication, carries out letter in real time
Breath transmission, and be stored in data base.In-vehicle network carries out the information monitoring of vehicle, such as vehicle size, onboard sensor number
According to, GPS position information, drivers information, vehicle start and stop speed, acceleration and time, position relative with surrounding vehicles and phase
To information such as speed, uploaded to the server of control centre by network.Server includes background database and real time data
Storehouse.Real time information data storehouse comprises real time GPS information, following distance, speed and the acceleration of above-mentioned each vehicle being previously mentioned
Deng, background database is environment weather information, and section cartographic information, all types of road accident information, certain section vehicle travel general
Condition information etc.；
Step 2. data analysis center is to be analyzed information in real-time data base in server processing, the information of vehicles obtained
Feature, energy as new in the braking of vehicle, all types of driving path person's response time etc..Again two kinds of database informations are carried out total score
Analysis, obtains certain section vehicle and gets congestion and the probability of accident and in emergency circumstances driver's maximum response time, minimum safe
Distance, and obtain the pre-vehicle condition of vehicle under these road conditions, such as summer in road conditions of blocking up, by weather data storehouse information and road conditions
Information is analyzed, and obtains the future trends such as vehicle motor temperature, thus provides foundation for prediction；
Step 3. prediction module mainly performs two work, and one is after real-time estimate in certain time, the position of rolling stock
Put, and analyze contingent accident, be once found to have conflict point, the most immediately to associated vehicle prediction occurring information, thus keep away
Exempt from the generation of accident；Two is that the result of up-to-date collection is compared with the result above predicted, revises forecast model.Finally will
Optimal wheelpath and accident, the prediction probability that blocks up that prediction obtains are handed down to this vehicle, provide reliable traveling for driver
Foundation；
Step 4. early warning refers to that the result obtained by data analysis center is contrasted with driver drives vehicle real-time condition, once
Traveling situation exceedes the end value of analysis in real time, then carry out driver in car and report to the police, if vehicle condition is not good enough simultaneously, also can
Improve warning instruction.Also send dangerous warning to Following Car behind simultaneously.
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